@techreport{oai:jaxa.repo.nii.ac.jp:00004522,
 author = {沖, 一雄 and 溝口, 勝 and 登尾, 浩助 and 吉田, 貢士 and 大澤, 和敏 and 三石, 正一 and Oki, Kazuo and Mizoguchi, Masaru and Noborio, Kosuke and Yoshida, Koshi and Osawa, Kazutoshi and Mitsuishi, Shoichi and Ito, Tetsu},
 month = {},
 note = {形態: DVD-ROM1枚, In this study, we developed an integrated system with remote sensing imagery and Field Server data in a cabbage field in Tsumagoi, Gunma Prefecture, Japan. The use of the integrated system enable us to verify the accuracy of cabbage coverage estimated from various remotely sensed imagery such as AVNIR-2 and QuickBird using a unmixing method, since we can see real-time growing cabbages through a Field Server web-camera using the Internet in our laboratory. Also, the accuracy comparisons of the cabbage coverage estimated from AVNIR-2 and QuickBird imagery using an unmixing method were carried out to increase the amount of remote sensing data obtained at different levels of spatial resolution on different observation days. The accuracy rates of the cabbage coverage estimated using an unmixing method from AVNIR-2 and QuickBird imagery were almost the same. This result is very interesting, because it shows that we may be able to evaluate cabbage coverage using remote sensing data obtained at different spatial resolutions on different observation days. Thus, it would be possible to use different remote sensing imagery systems to evaluate cabbage conditions during the growing period using this proposed method., Using the developed integrated system, we can produce a cabbage coverage map from remotely sensed imagery that provides information on cabbage growth. This type of information could be used for the management of agricultural land, particularly with regard to the application of fertilizer and the prediction of crop production. Our results supported the validity of the use of remote sensing technology to manage agricultural land. The availability and promise of the Field Server system makes an integrated system that also uses remotely sensed imagery a powerful tool. Furthermore, we expect to be able to produce maps of various types from remotely sensed imagery in the near future, since Field Servers have sensors such as air temperature, relative humidity, solar radiation, soil moisture, soil temperature, wind direction, wind speed, evapotranspiration, and precipitation sensors that will provide the necessary data., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, Note: One DVD-ROM, 資料番号: AA0065135052, レポート番号: JAXA-SP-11-007E},
 title = {DEVELOPMENT OF AGRICULTURAL MONITORING SYSTEM WITH REMOTE SENSING IMAGERY AND FIELD SERVER DATA},
 year = {2011}
}